{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/shelley/Dropbox/Projects/Senegal/Senegal Nigeria Education and Leaders/Senegal Replication Files/do files/0_appendix.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 6 Jul 2023, 11:59:29
{txt}
{com}.         do "do files/balance" /* A.5 */
{txt}
{com}. 
. *********************************
. ***   For appendix: balance   ***
. *********************************
. 
. replace religion = "" if religion == "Unkown" | religion == "Unknown"
{txt}(16 real changes made)

{com}. gen christian = 0 if religion != ""
{txt}(22 missing values generated)

{com}. replace christian = 1 if religion == "Christian"
{txt}(267 real changes made)

{com}. 
. gen muslim = 0 if religion != ""
{txt}(22 missing values generated)

{com}. replace muslim = 1 if religion == "Muslim"
{txt}(5,632 real changes made)

{com}. 
. gen other = 0 if religion != ""
{txt}(22 missing values generated)

{com}. replace other = 1 if religion == "Traditional" | religion == "Other" | religion == "None"
{txt}(26 real changes made)

{com}. 
. drop french_lang diola_lang other_lang
{txt}
{com}. 
. local placebo age christian muslim other *_lang
{txt}
{com}. est clear 
{res}{txt}
{com}. 
. foreach var of varlist `placebo' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A8: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' i.birthyear_control i.year_survey_control post1 treat2_10_inc urbrur2 instrument if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A8: age

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         age{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-4.37e-13{col 26}{space 2} 7.47e-14{col 37}{space 1}   -5.85{col 46}{space 3}0.000{col 54}{space 4}-5.84e-13{col 67}{space 3}-2.90e-13
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}38.180333
 
 
 
Table A8: christian

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   christian{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0191907{col 26}{space 2} .0161917{col 37}{space 1}    1.19{col 46}{space 3}0.237{col 54}{space 4}-.0126959{col 67}{space 3} .0510773
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.04506329
 
 
 
Table A8: muslim

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      muslim{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0152648{col 26}{space 2} .0173912{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.0495135{col 67}{space 3} .0189839
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.95054852
 
 
 
Table A8: other

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       other{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0039259{col 26}{space 2} .0046753{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.0131329{col 67}{space 3} .0052812
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.00438819
 
 
 
Table A8: wolof_lang

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  wolof_lang{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0325815{col 26}{space 2} .0343606{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.0350851{col 67}{space 3} .1002482
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.61694972
 
 
 
Table A8: toucpeul_lang

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}toucpeul_l~g{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0258729{col 26}{space 2} .0239215{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.0729817{col 67}{space 3} .0212359
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.17185135
 
 
 
Table A8: serer_lang

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  serer_lang{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0118239{col 26}{space 2} .0256161{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-.0622699{col 67}{space 3} .0386221
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.06944678
 
 
 
Table A8: mand_lang

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   mand_lang{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0027992{col 26}{space 2} .0175243{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}  -.03731{col 67}{space 3} .0317116
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.04186985
{txt}
{com}. 
. 
. local numbers "& (1) & (2) & (3) & (4) \\"
{txt}
{com}. local panelA "\textbf{c -(}Panel A:{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Respondent age{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Christian{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Muslim{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Other religions{c )-} \\  \midrule"
{txt}
{com}. local panelB "\midrule \\ \textbf{c -(}Panel B:{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Wolof (lang){c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Touc/Peul (lang){c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Serer (lang){c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Mandinka (lang){c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/balance.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers'" "`panelA'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/balance.tex"'})

{com}. 
. esttab est5 est6 est7 est8 using "tables/balance.tex", b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`gap'" "`panelB'") append ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/balance.tex"'})

{com}. 
. 
{txt}end of do-file

{com}.         do "do files/additional effects" /* A.6, A.8, A.9 */
{txt}
{com}. 
. *****************************************
. ***   For appendix: support for PDS   ***
. *****************************************
. 
. est clear
{res}{txt}
{com}. 
. local pds close_pds 
{txt}
{com}. 
. foreach var of varlist `pds' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A9: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' instrument $controls if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A9: close_pds

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   close_pds{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0841987{col 26}{space 2} .0289727{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.1412549{col 67}{space 3}-.0271425
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.27159864
{txt}
{com}. 
. 
. local numbers "& (1) \\"
{txt}
{com}. local pds " & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Close to PDS{c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. 
. esttab est1 using "tables/pds_appendix.tex", b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`gap'" "`pds'") replace ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/pds_appendix.tex"'})

{com}. 
. 
. *********************************************************
. ***   For appendix: breaking up participation index   ***
. *********************************************************
. 
. 
. local participate participate_index vote1 raise_issue_index
{txt}
{com}. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist `participate' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A11: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' instrument $controls if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A11: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0426988{col 26}{space 2} .0632666{col 37}{space 1}   -0.67{col 46}{space 3}0.500{col 54}{space 4}-.1672903{col 67}{space 3} .0818927
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.296854
 
 
 
Table A11: vote1

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       vote1{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0024797{col 26}{space 2} .0391603{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.0746391{col 67}{space 3} .0795985
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.58233204
 
 
 
Table A11: raise_issue_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}raise_issu~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0842029{col 26}{space 2} .1146108{col 37}{space 1}   -0.73{col 46}{space 3}0.463{col 54}{space 4}-.3099072{col 67}{space 3} .1415014
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}2.0224452
{txt}
{com}. 
. foreach var of varlist `participate' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A11: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument 
{txt}  8{com}.         noisily: lincom c.instrument#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}. {c )-}       
 
 
 
Table A11: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0584728{col 26}{space 2} .0725918{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.2014286{col 67}{space 3} .0844831
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2849296{col 26}{space 2} .1403163{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0086032{col 67}{space 3}  .561256
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2414227
 
 
 
Table A11: vote1

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       vote1{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0045259{col 26}{space 2} .0481159{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4} -.099281{col 67}{space 3} .0902292
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       vote1{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1850157{col 26}{space 2} .1172747{col 37}{space 1}    1.58{col 46}{space 3}0.116{col 54}{space 4}-.0459345{col 67}{space 3} .4159659
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.52980342
 
 
 
Table A11: raise_issue_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}raise_issu~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1165418{col 26}{space 2} .1379519{col 37}{space 1}   -0.84{col 46}{space 3}0.399{col 54}{space 4} -.388212{col 67}{space 3} .1551284
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}raise_issu~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3874105{col 26}{space 2}  .254669{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.1141119{col 67}{space 3}  .888933
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.96
{txt}
{com}. 
. local numbers "& (1) & (2) & (3) & (4) & (5) & (6) \\"
{txt}
{com}. local gov1 " & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Vote{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Raise issue{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Vote{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Raise issue{c )-} \\ \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 est5 est6 using "tables/participate_indx_breakdown.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers'" "`gov1'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/participate_indx_breakdown.tex"'})

{com}. 
. 
. ******************************************************************
. ***   For appendix: heterogeneous effects on personal wealth   ***
. ******************************************************************
. 
. local economic economic_index employed assets basic_necessities 
{txt}
{com}. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist `economic' {c -(}
{txt}  2{com}.                 
.                 
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A12: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument 
{txt}  8{com}.         noisily: lincom c.instrument#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}. {c )-}       
 
 
 
Table A12: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0954126{col 26}{space 2} .0263025{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .0436147{col 67}{space 3} .1472105
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .002318{col 26}{space 2}  .039146{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0747725{col 67}{space 3} .0794086
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3748365
 
 
 
Table A12: employed

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    employed{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2042659{col 26}{space 2} .0466194{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .1124579{col 67}{space 3}  .296074
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    employed{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0930899{col 26}{space 2} .0774125{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.2455391{col 67}{space 3} .0593593
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.27405063
 
 
 
Table A12: assets

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      assets{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0983807{col 26}{space 2} .0359085{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .0276575{col 67}{space 3} .1691039
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      assets{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1127118{col 26}{space 2} .0546865{col 37}{space 1}    2.06{col 46}{space 3}0.040{col 54}{space 4} .0050048{col 67}{space 3} .2204188
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.37244645
 
 
 
Table A12: basic_necessities

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}basic_nece~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0141405{col 26}{space 2} .0255318{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0644204{col 67}{space 3} .0361395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}basic_nece~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0083226{col 26}{space 2} .0579705{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.1224846{col 67}{space 3} .1058394
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.47846502
{txt}
{com}. 
. 
. local numbers "& (1) & (2) & (3) & (4) \\"
{txt}
{com}. local economic " & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Employed{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Assets index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Basic necessities index{c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/econ_appendix.tex", b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`numbers'" "`economic'") replace ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/econ_appendix.tex"'})

{com}. 
. 
{txt}end of do-file

{com}.         do "do files/ols regressions" /* A.10 */
{txt}
{com}. 
. *******************************************************************************
. ***   For appendix: endogenous estimates (OLS)
. *******************************************************************************
. 
. **********************************
. ***   Economics and interest   ***
. **********************************
. 
. local economic economic_index employed assets basic_necessities 
{txt}
{com}. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist `economic' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A13a: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' school4 $controls if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom school4
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A13a: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .046884{col 26}{space 2}  .006704{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4} .0336817{col 67}{space 3} .0600863
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A13a: employed

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    employed{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0343266{col 26}{space 2} .0118644{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4}  .010962{col 67}{space 3} .0576912
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.26280095
 
 
 
Table A13a: assets

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      assets{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0468377{col 26}{space 2} .0082592{col 37}{space 1}    5.67{col 46}{space 3}0.000{col 54}{space 4}  .030571{col 67}{space 3} .0631044
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.40868629
 
 
 
Table A13a: basic_necessities

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}basic_nece~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0574076{col 26}{space 2} .0100879{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .0375413{col 67}{space 3} .0772738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.45025788
{txt}
{com}. 
. local information information interest_pub_affairs_index discuss_pol_index news_scale
{txt}
{com}. 
. foreach var of varlist `information' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A13b: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' school4 $controls if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom school4
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A13b: information

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1535727{col 26}{space 2} .0162991{col 37}{space 1}    9.42{col 46}{space 3}0.000{col 54}{space 4} .1214748{col 67}{space 3} .1856707
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A13b: interest_pub_affairs_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}interest_p~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0752219{col 26}{space 2} .0222472{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} .0314102{col 67}{space 3} .1190336
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.0970478
 
 
 
Table A13b: discuss_pol_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}discuss_po~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1057085{col 26}{space 2} .0203833{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0655676{col 67}{space 3} .1458495
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1185751
 
 
 
Table A13b: news_scale

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  news_scale{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2854215{col 26}{space 2} .0298361{col 37}{space 1}    9.57{col 46}{space 3}0.000{col 54}{space 4}  .226665{col 67}{space 3}  .344178
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}2.4879451
{txt}
{com}. 
. local numbers "& (1) & (2) & (3) & (4) \\"
{txt}
{com}. local economic "\textbf{c -(}A: Economic{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Employed{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Assets index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Basic necessities index{c )-} \\  \midrule"
{txt}
{com}. local interest "\midrule \\ \textbf{c -(}B: Interest{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest in pub affairs{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Discuss politics{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}News index{c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/econ_interest_ols.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers'" "`economic'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/econ_interest_ols.tex"'})

{com}. 
. esttab est5 est6 est7 est8 using "tables/econ_interest_ols.tex", b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`gap'" "`interest'")  postfoot("\midrule") append ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/econ_interest_ols.tex"'})

{com}. 
. 
. 
. 
. *************************
. ***   Participation   ***
. *************************
. 
. local participation participation_index participate_index contact_index 
{txt}
{com}. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist `participation' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A13c: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' school4 $controls if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom school4
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A13c: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0570167{col 26}{space 2} .0125852{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .0322325{col 67}{space 3} .0818009
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A13c: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0683643{col 26}{space 2} .0207224{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .0275555{col 67}{space 3} .1091732
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.296854
 
 
 
Table A13c: contact_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}contact_in~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0433563{col 26}{space 2} .0112858{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} .0211311{col 67}{space 3} .0655815
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.26291357
{txt}
{com}. 
. local participation1 "\textbf{c -(}C: Participation{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participation index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Contact index{c )-} \\  \midrule"
{txt}
{com}. 
. 
. esttab est1 est2 est3 using "tables/participation_ols.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`participation1'") postfoot("\midrule") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/participation_ols.tex"'})

{com}. 
. 
. 
. ************************************
. ***   Government and Democracy   ***
. ************************************
. 
. 
. local democracy dem_gov dem_support dem_checks_on_pres dem_institutions
{txt}
{com}. est clear
{res}{txt}
{com}. 
. 
. foreach var of varlist `democracy' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A13d: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' school4 $controls if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom school4
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A13d: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0021425{col 26}{space 2} .0150983{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0275909{col 67}{space 3} .0318758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.89358166
 
 
 
Table A13d: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0703785{col 26}{space 2} .0113856{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .0479567{col 67}{space 3} .0928002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1910698
 
 
 
Table A13d: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .086619{col 26}{space 2} .0144173{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .0582269{col 67}{space 3} .1150112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
 
 
 
Table A13d: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0533208{col 26}{space 2} .0116781{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4}  .030323{col 67}{space 3} .0763186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1995561
{txt}
{com}. 
. local dem1 "\textbf{c -(}D: Support for Democracy{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Democratic{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem institutions{c )-} \\ "
{txt}
{com}. local line2 "& \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}quality index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}index{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}president{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}index{c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/democracy_ols.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`dem1'"  "`line2'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/democracy_ols.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}.         do "do files/main effects robustness" /* A.11 Table A14 */
{txt}
{com}. 
. ********************************************************************************
. ***   For appendix: alternate specifications (robustness checks)
. ********************************************************************************
. 
. * Dropping partially treated
. 
. gen instrument2 = post2*treat2_10_inc
{txt}(628 missing values generated)

{com}. egen instrument2_std = std(instrument2)
{txt}(628 missing values generated)

{com}. drop instrument2
{txt}
{com}. ren instrument2_std instrument2
{res}{txt}
{com}. 
. label var instrument2 "Post $\times$ Intensity"
{txt}
{com}. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A14a: `var'"
{txt}  6{com}.         quietly eststo: reg `var' instrument2 i.birthyear_control i.year_survey_control i.locale_gender post2 treat2_10_inc wolof-others if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument2
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A14a: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .086605{col 26}{space 2} .0209877{col 37}{space 1}    4.13{col 46}{space 3}0.000{col 54}{space 4} .0452728{col 67}{space 3} .1279371
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A14a: information

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0979563{col 26}{space 2}   .04721{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0049835{col 67}{space 3} .1909291
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A14a: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.028632{col 26}{space 2} .0445691{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4} -.116404{col 67}{space 3}   .05914
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A14a: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0659774{col 26}{space 2} .0379884{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0088349{col 67}{space 3} .1407897
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
{txt}
{com}. 
. 
. * More stringent birthyear cutoffs
. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A14b: `var'"
{txt}  6{com}.         quietly eststo: areg `var' instrument i.birthyear_control i.year_survey_control post1 treat2_10_inc wolof-others urbrur2 male if birthyear_control >= 1975 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A14b: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0726571{col 26}{space 2} .0231021{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0271603{col 67}{space 3} .1181539
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A14b: information

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1171378{col 26}{space 2} .0516201{col 37}{space 1}    2.27{col 46}{space 3}0.024{col 54}{space 4}  .015478{col 67}{space 3} .2187977
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A14b: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0021271{col 26}{space 2} .0468094{col 37}{space 1}    0.05{col 46}{space 3}0.964{col 54}{space 4}-.0900586{col 67}{space 3} .0943129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A14b: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0805557{col 26}{space 2} .0398269{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0021213{col 67}{space 3} .1589901
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
{txt}
{com}. 
. 
. * region specific trends
. 
. tab RegionCode, gen(region)

 {txt}RegionCode {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,494       25.12       25.12
{txt}          2 {c |}{res}        588        9.89       35.01
{txt}          3 {c |}{res}        341        5.73       40.74
{txt}          4 {c |}{res}        660       11.10       51.84
{txt}          5 {c |}{res}        452        7.60       59.44
{txt}          6 {c |}{res}        367        6.17       65.61
{txt}          7 {c |}{res}        192        3.23       68.84
{txt}          8 {c |}{res}        416        7.00       75.84
{txt}          9 {c |}{res}        332        5.58       81.42
{txt}         10 {c |}{res}        810       13.62       95.04
{txt}         11 {c |}{res}        295        4.96      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      5,947      100.00
{txt}
{com}. foreach var of varlist region* {c -(}
{txt}  2{com}.         gen `var'_treat = `var'*birthyear
{txt}  3{com}. {c )-}
{txt}(2,368 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)
(69 missing values generated)

{com}. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A14c: `var'"
{txt}  6{com}.         quietly eststo: areg `var' instrument i.birthyear_control i.year_survey_control post1 treat2_10_inc wolof-others urbrur2 male region* if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A14c: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0853842{col 26}{space 2} .0262255{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .0336935{col 67}{space 3} .1370749
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A14c: information

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1052465{col 26}{space 2} .0668553{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.0265258{col 67}{space 3} .2370187
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A14c: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0255013{col 26}{space 2} .0610458{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-.0948205{col 67}{space 3} .1458231
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A14c: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0897911{col 26}{space 2} .0450435{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0010101{col 67}{space 3} .1785722
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
{txt}
{com}. 
. 
. * 5 year cohorts
. 
. gen instrument3 = post1 * treat2_inc
{txt}(248 missing values generated)

{com}. egen instrument3_std = std(instrument3)
{txt}(248 missing values generated)

{com}. drop instrument3
{txt}
{com}. ren instrument3_std instrument3
{res}{txt}
{com}. 
. label var instrument3 "Post $\times$ Intensity"
{txt}
{com}. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A14d: `var'"
{txt}  6{com}.         quietly eststo: areg `var' instrument3 i.birthyear_control i.year_survey_control post1 treat2_inc wolof-others urbrur2 male if birthyear_control >= 1970 & birthyear_control <= 1997, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument3
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A14d: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0930653{col 26}{space 2} .0198534{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4} .0539678{col 67}{space 3} .1321628
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A14d: information

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1254183{col 26}{space 2} .0448454{col 37}{space 1}    2.80{col 46}{space 3}0.006{col 54}{space 4} .0371038{col 67}{space 3} .2137327
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A14d: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0094863{col 26}{space 2}  .047128{col 37}{space 1}   -0.20{col 46}{space 3}0.841{col 54}{space 4}-.1022959{col 67}{space 3} .0833234
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A14d: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0896298{col 26}{space 2} .0366291{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4} .0174958{col 67}{space 3} .1617639
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
{txt}
{com}. 
. 
. * Drop top populated places
. 
. xtile pop_quart = population, n(4)
{txt}
{com}. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A14e: `var'"
{txt}  6{com}.         quietly eststo: areg `var' instrument i.birthyear_control i.year_survey_control post1 treat2_10_inc wolof-others urbrur2 male if birthyear_control >= 1970 & birthyear_control <= 1997 & pop_quart != 4, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A14e: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1223215{col 26}{space 2} .0258467{col 37}{space 1}    4.73{col 46}{space 3}0.000{col 54}{space 4} .0713913{col 67}{space 3} .1732518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A14e: information

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2154051{col 26}{space 2} .0632337{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4}  .090805{col 67}{space 3} .3400053
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A14e: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0233402{col 26}{space 2} .0635402{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-.1018638{col 67}{space 3} .1485442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A14e: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1060465{col 26}{space 2} .0475006{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4}  .012448{col 67}{space 3} .1996451
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
{txt}
{com}. 
. * Adding age as a control
. 
. local economic economic_index employed assets basic_necessities 
{txt}
{com}. local information information interest_pub_affairs_index discuss_pol_index news_scale
{txt}
{com}. local participation participation_index participate_index contact_index 
{txt}
{com}. local dem_checks_on_pres
{txt}
{com}. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A14f: `var'"
{txt}  6{com}.         quietly eststo: reg `var' instrument i.birthyear_control i.year_survey_control i.locale_gender post1 treat2_10_inc wolof-others age if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom instrument
{txt}  8{com}.         quietly: summ `var'
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A14f: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0898116{col 26}{space 2} .0200768{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .0502741{col 67}{space 3} .1293492
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.3699303
 
 
 
Table A14f: information

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1245176{col 26}{space 2} .0453609{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4}  .035188{col 67}{space 3} .2138473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5709462
 
 
 
Table A14f: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0176828{col 26}{space 2}  .046637{col 37}{space 1}   -0.38{col 46}{space 3}0.705{col 54}{space 4}-.1095255{col 67}{space 3} .0741599
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78137618
 
 
 
Table A14f: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0940214{col 26}{space 2} .0367106{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0217269{col 67}{space 3}  .166316
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.185741
{txt}
{com}. 
. 
. local numbers "& (1) & (2) & (3) & (4) \\ "
{txt}
{com}. local robust1 "\textbf{c -(}Dropping partially treated{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local robust2 "\midrule \\ \textbf{c -(}Region-specific trends{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local robust3 "\midrule \\ \textbf{c -(}Using 1975-1997 sample{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local robust4 "\midrule \\ \textbf{c -(}5 year cohorts{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local robust5 "\midrule \\ \textbf{c -(}Drop populated CRs{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local robust6 "\midrule \\ \textbf{c -(}Adding age as a control{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. local robust7 "\midrule \\ \textbf{c -(}Controlling for partisanship{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. local robust8 "\midrule \\ \textbf{c -(}Dropping year dummies{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\ \midrule"
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/robustness.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers'" "`robust1'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument2)
{res}{txt}(output written to {browse  `"tables/robustness.tex"'})

{com}. 
. esttab est5 est6 est7 est8 using "tables/robustness.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust2'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/robustness.tex"'})

{com}. 
. esttab est9 est10 est11 est12 using "tables/robustness.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust3'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/robustness.tex"'})

{com}. 
. esttab est13 est14 est15 est16 using "tables/robustness.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust4'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument3)
{res}{txt}(output written to {browse  `"tables/robustness.tex"'})

{com}. 
. esttab est17 est18 est19 est20 using "tables/robustness.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust5'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/robustness.tex"'})

{com}. 
. 
. esttab est21 est22 est23 est24 using "tables/robustness.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust6'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/robustness.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}.         do "do files/het effects robustness" /* A.11 Table A15 */
{txt}
{com}. 
. * dropping partially treated
. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist participate_index  dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A15a: `var'"
{txt}  6{com}. 
.         quietly eststo: reg `var' instrument2 c.instrument2#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post2##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument2
{txt}  8{com}.         noisily: lincom c.instrument2#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.         
. {c )-}       
 
 
 
Table A15a: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0571223{col 26}{space 2} .0695269{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.1940449{col 67}{space 3} .0798002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument2#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1848968{col 26}{space 2}  .173872{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-.1575175{col 67}{space 3} .5273112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2382143
 
 
 
Table A15a: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0167672{col 26}{space 2} .0441555{col 37}{space 1}    0.38{col 46}{space 3}0.704{col 54}{space 4}-.0701902{col 67}{space 3} .1037247
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument2#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0183261{col 26}{space 2} .1022155{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.1829717{col 67}{space 3} .2196239
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.90389165
 
 
 
Table A15a: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0232637{col 26}{space 2} .0330465{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0418163{col 67}{space 3} .0883437
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument2#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2239364{col 26}{space 2} .1400383{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0518477{col 67}{space 3} .4997205
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1817034
 
 
 
Table A15a: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0427428{col 26}{space 2} .0440038{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0439161{col 67}{space 3} .1294016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument2#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1688471{col 26}{space 2} .1644324{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.1549774{col 67}{space 3} .4926717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1727844
 
 
 
Table A15a: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} instrument2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0032585{col 26}{space 2} .0370831{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4} -.069771{col 67}{space 3} .0762879
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument2#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2783071{col 26}{space 2} .1367982{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0089039{col 67}{space 3} .5477103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1931124
{txt}
{com}. 
. * region specific trends
. 
. foreach var of varlist participate_index dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}. 
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A15b: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W region* $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument 
{txt}  8{com}.         noisily: lincom c.instrument#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.                 
. {c )-}       
 
 
 
Table A15b: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0037067{col 26}{space 2} .0944951{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.1899572{col 67}{space 3} .1825438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3309068{col 26}{space 2} .1673336{col 37}{space 1}    1.98{col 46}{space 3}0.049{col 54}{space 4}  .001091{col 67}{space 3} .6607226
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.377292
 
 
 
Table A15b: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0524056{col 26}{space 2}  .054833{col 37}{space 1}    0.96{col 46}{space 3}0.340{col 54}{space 4}-.0556706{col 67}{space 3} .1604818
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2164342{col 26}{space 2} .1161756{col 37}{space 1}   -1.86{col 46}{space 3}0.064{col 54}{space 4}-.4454172{col 67}{space 3} .0125488
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.0436474
 
 
 
Table A15b: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0515601{col 26}{space 2} .0338618{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0151817{col 67}{space 3} .1183019
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1796642{col 26}{space 2} .1078596{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0329279{col 67}{space 3} .3922564
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2020457
 
 
 
Table A15b: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0638347{col 26}{space 2} .0517216{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4} -.038109{col 67}{space 3} .1657784
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1905149{col 26}{space 2}  .130856{col 37}{space 1}    1.46{col 46}{space 3}0.147{col 54}{space 4}-.0674032{col 67}{space 3} .4484331
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1681747
 
 
 
Table A15b: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0366828{col 26}{space 2} .0422575{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.0466071{col 67}{space 3} .1199726
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1681691{col 26}{space 2} .1023703{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0336035{col 67}{space 3} .3699416
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2377225
{txt}
{com}. 
. 
. * More stringent birth cutoffs
. 
. foreach var of varlist participate_index dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}. 
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A15c: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1975 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument 
{txt}  8{com}.         noisily: lincom c.instrument#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}. {c )-}       
 
 
 
Table A15c: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0486033{col 26}{space 2}  .077107{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.2004567{col 67}{space 3}   .10325
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   .33396{col 26}{space 2}  .171609{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4}-.0040042{col 67}{space 3} .6719241
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2081349
 
 
 
Table A15c: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0092289{col 26}{space 2} .0535894{col 37}{space 1}    0.17{col 46}{space 3}0.863{col 54}{space 4}-.0963092{col 67}{space 3}  .114767
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  -.25116{col 26}{space 2} .1426954{col 37}{space 1}   -1.76{col 46}{space 3}0.080{col 54}{space 4}-.5321821{col 67}{space 3} .0298622
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.91522654
 
 
 
Table A15c: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0280552{col 26}{space 2} .0345104{col 37}{space 1}    0.81{col 46}{space 3}0.417{col 54}{space 4}-.0399092{col 67}{space 3} .0960195
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .243468{col 26}{space 2} .1136183{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .0197099{col 67}{space 3} .4672261
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1860055
 
 
 
Table A15c: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0442399{col 26}{space 2} .0464837{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0473044{col 67}{space 3} .1357841
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2475006{col 26}{space 2} .1383095{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0248841{col 67}{space 3} .5198853
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1774831
 
 
 
Table A15c: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0108952{col 26}{space 2}  .039047{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0660034{col 67}{space 3} .0877937
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .242247{col 26}{space 2} .1100407{col 37}{space 1}    2.20{col 46}{space 3}0.029{col 54}{space 4} .0255345{col 67}{space 3} .4589595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1969184
{txt}
{com}. 
. 
. * 5 year cohorts
. 
. foreach var of varlist participate_index dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}. 
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A15d: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument3 c.instrument3#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument3 
{txt}  8{com}.         noisily: lincom c.instrument3#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.         
. {c )-}       
 
 
 
Table A15d: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0560053{col 26}{space 2}  .071818{col 37}{space 1}   -0.78{col 46}{space 3}0.436{col 54}{space 4}-.1974373{col 67}{space 3} .0854266
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument3#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2773559{col 26}{space 2} .1414099{col 37}{space 1}    1.96{col 46}{space 3}0.051{col 54}{space 4}-.0011242{col 67}{space 3}  .555836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2414227
 
 
 
Table A15d: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0383546{col 26}{space 2} .0445334{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.0493454{col 67}{space 3} .1260547
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument3#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2466719{col 26}{space 2} .1180393{col 37}{space 1}   -2.09{col 46}{space 3}0.038{col 54}{space 4}-.4791279{col 67}{space 3} -.014216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.90564998
 
 
 
Table A15d: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0331691{col 26}{space 2} .0317823{col 37}{space 1}    1.04{col 46}{space 3}0.298{col 54}{space 4}  -.02942{col 67}{space 3} .0957583
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument3#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2375109{col 26}{space 2} .0977876{col 37}{space 1}    2.43{col 46}{space 3}0.016{col 54}{space 4} .0449367{col 67}{space 3} .4300852
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.180703
 
 
 
Table A15d: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0541713{col 26}{space 2} .0421177{col 37}{space 1}    1.29{col 46}{space 3}0.200{col 54}{space 4}-.0287716{col 67}{space 3} .1371142
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument3#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2454451{col 26}{space 2} .1156715{col 37}{space 1}    2.12{col 46}{space 3}0.035{col 54}{space 4}  .017652{col 67}{space 3} .4732381
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1715792
 
 
 
Table A15d: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} instrument3 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0116419{col 26}{space 2} .0371855{col 37}{space 1}    0.31{col 46}{space 3}0.754{col 54}{space 4}-.0615878{col 67}{space 3} .0848716
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument3#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2348618{col 26}{space 2} .1004281{col 37}{space 1}    2.34{col 46}{space 3}0.020{col 54}{space 4} .0370877{col 67}{space 3} .4326359
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1920717
{txt}
{com}. 
. * Drop top populated places
. 
. foreach var of varlist participate_index dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}. 
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A15e: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997 & pop_quart != 4, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument 
{txt}  8{com}.         noisily: lincom c.instrument#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.         
. {c )-}       
 
 
 
Table A15e: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0297984{col 26}{space 2} .0992444{col 37}{space 1}    0.30{col 46}{space 3}0.764{col 54}{space 4}-.1657596{col 67}{space 3} .2253565
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0478792{col 26}{space 2} .1740106{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4}-.2950034{col 67}{space 3} .3907618
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2635315
 
 
 
Table A15e: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .072214{col 26}{space 2} .0552438{col 37}{space 1}    1.31{col 46}{space 3}0.192{col 54}{space 4}-.0366422{col 67}{space 3} .1810703
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.366103{col 26}{space 2} .1324909{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.6271723{col 67}{space 3}-.1050337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.91475905
 
 
 
Table A15e: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0478817{col 26}{space 2} .0449457{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.0406825{col 67}{space 3} .1364459
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1382945{col 26}{space 2} .1094293{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0773326{col 67}{space 3} .3539216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1679465
 
 
 
Table A15e: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0957665{col 26}{space 2} .0616694{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.0257512{col 67}{space 3} .2172843
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1112724{col 26}{space 2} .1211962{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4} -.127541{col 67}{space 3} .3500858
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1559375
 
 
 
Table A15e: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0000465{col 26}{space 2} .0515476{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-.1016194{col 67}{space 3} .1015265
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .168126{col 26}{space 2} .1210136{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0703276{col 67}{space 3} .4065796
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1828203
{txt}
{com}. 
. 
. * Adding age
. 
. foreach var of varlist participate_index dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}. 
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A15f: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls3 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt}  7{com}.                 
.         noisily: lincom instrument 
{txt}  8{com}.         noisily: lincom c.instrument#c.W
{txt}  9{com}.         
.         quietly: summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.         
. {c )-}       
 
 
 
Table A15f: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0855968{col 26}{space 2}  .080506{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.2441381{col 67}{space 3} .0729446
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2479992{col 26}{space 2} .1751926{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0970095{col 67}{space 3} .5930079
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2381694
 
 
 
Table A15f: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0347147{col 26}{space 2} .0500355{col 37}{space 1}    0.69{col 46}{space 3}0.488{col 54}{space 4}-.0638208{col 67}{space 3} .1332502
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.3241206{col 26}{space 2} .1126792{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4} -.546021{col 67}{space 3}-.1022203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.90325523
 
 
 
Table A15f: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0340755{col 26}{space 2} .0305156{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.0260193{col 67}{space 3} .0941702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}   .19872{col 26}{space 2}  .097008{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0076811{col 67}{space 3} .3897589
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1814873
 
 
 
Table A15f: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0572862{col 26}{space 2} .0433863{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0281548{col 67}{space 3} .1427272
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2280161{col 26}{space 2} .1214477{col 37}{space 1}    1.88{col 46}{space 3}0.062{col 54}{space 4}-.0111521{col 67}{space 3} .4671843
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1732979
 
 
 
Table A15f: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0101349{col 26}{space 2} .0364642{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.0616745{col 67}{space 3} .0819443
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1755025{col 26}{space 2} .0958774{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0133098{col 67}{space 3} .3643148
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1919037
{txt}
{com}. 
. 
. local numbers "& (1) & (2) & (3) & (4) & (5) \\"
{txt}
{com}. local robust1 "\textbf{c -(}Dropping partially treated{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust2 "\midrule \\  \textbf{c -(}Region-specific trends{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust3 "\midrule \\  \textbf{c -(}Using 1975-1997 sample{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust4 "\midrule \\  \textbf{c -(}5 year cohorts{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust5 "\midrule \\  \textbf{c -(}Drop populated CRs{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust6 "\midrule \\  \textbf{c -(}Adding age as a control{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust7 "\midrule \\  \textbf{c -(}Control for partisanship{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust8 "\midrule \\  \textbf{c -(}Drop year dummies{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 est5 using "tables/robustness_het.tex", replace b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers'" "`robust1'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument2 c.instrument2#c.W)
{res}{txt}(output written to {browse  `"tables/robustness_het.tex"'})

{com}. 
. esttab est6 est7 est8 est9 est10 using "tables/robustness_het.tex", append b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust2'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/robustness_het.tex"'})

{com}. 
. esttab est11 est12 est13 est14 est15 using "tables/robustness_het.tex", append b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust3'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/robustness_het.tex"'})

{com}. 
. esttab est16 est17 est18 est19 est20 using "tables/robustness_het.tex", append b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust4'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument3 c.instrument3#c.W)
{res}{txt}(output written to {browse  `"tables/robustness_het.tex"'})

{com}. 
. esttab est21 est22 est23 est24 est25 using "tables/robustness_het.tex", append b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust5'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/robustness_het.tex"'})

{com}. 
. esttab est26 est27 est28 est29 est30 using "tables/robustness_het.tex", append b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust6'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/robustness_het.tex"'})

{com}. 
. 
{txt}end of do-file

{com}.         do "do files/placebo regressions" /* A.13 */
{txt}
{com}. 
. est clear
{res}{txt}
{com}. 
. ***************************
. ***   Placebo post #1   ***
. ***************************
. 
. gen fake_post = 0
{txt}
{com}. replace fake_post = 0.25 if birthyear >= 1969 & birthyear != .
{txt}(3,476 real changes made)

{com}. replace fake_post = 0.5 if birthyear >= 1970 & birthyear != .
{txt}(3,360 real changes made)

{com}. replace fake_post = 0.75 if birthyear >= 1971 & birthyear != .
{txt}(3,213 real changes made)

{com}. replace fake_post = 1 if birthyear >= 1972 & birthyear != .
{txt}(3,098 real changes made)

{com}. 
. gen fakeinst = fake_post*treat2_10_inc
{txt}(248 missing values generated)

{com}. egen f_std = std(fakeinst)
{txt}(248 missing values generated)

{com}. drop fakeinst
{txt}
{com}. ren f_std fakeinst
{res}{txt}
{com}. label var fakeinst "Post $\times$ Intensity"
{txt}
{com}. 
. 
. * main effects
. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         quietly eststo: areg `var' fakeinst i.birthyear_control i.year_survey_control fake_post treat2_10_inc wolof-others urbrur2 male if birthyear_control >= 1953 & birthyear_control <= 1980, absorb(locale_gender) cluster(locale_3_control)
{txt}  3{com}.         
.         noisily: lincom fakeinst
{txt}  4{com}.         quietly summ `var' if e(sample)
{txt}  5{com}.         estadd scalar vmean = r(mean)
{txt}  6{com}. {c )-}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0008611{col 26}{space 2} .0233381{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4}-.0468211{col 67}{space 3} .0450989
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.38824941

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0309424{col 26}{space 2} .0651045{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4}-.0972686{col 67}{space 3} .1591534
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.6011677

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0121038{col 26}{space 2} .0562803{col 37}{space 1}   -0.22{col 46}{space 3}0.830{col 54}{space 4}-.1229373{col 67}{space 3} .0987296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.83097975

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.006805{col 26}{space 2} .0482658{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-.1018554{col 67}{space 3} .0882454
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.205355
{txt}
{com}. 
. * het effects
. 
. foreach var of varlist participate_index  dem_gov dem_support dem_checks_on_pres dem_institutions  {c -(}
{txt}  2{com}.         quietly eststo: reg `var' fakeinst c.fakeinst#c.W i.birthyear_control##c.W i.locale_gender##c.W c.fake_post##c.W c.treat2_10_inc##c.W i.year_survey_control wolof-others male urbrur2 if birthyear_control >= 1953 & birthyear_control <= 1980, cluster(locale_3_control)
{txt}  3{com}. 
.         noisily: lincom fakeinst
{txt}  4{com}.         noisily: lincom c.fakeinst#c.W
{txt}  5{com}.         
.         quietly summ `var' if e(sample)
{txt}  6{com}.         estadd scalar vmean = r(mean)
{txt}  7{com}.         
. {c )-}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0075032{col 26}{space 2} .1063259{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4}-.2168921{col 67}{space 3} .2018856
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0462366{col 26}{space 2} .1739575{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4}-.2963397{col 67}{space 3} .3888129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.3576355

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0226649{col 26}{space 2} .0871378{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4}-.1489364{col 67}{space 3} .1942662
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0695326{col 26}{space 2} .1317952{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.1900131{col 67}{space 3} .3290784
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.885995

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0130891{col 26}{space 2} .0623688{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}-.1359126{col 67}{space 3} .1097344
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0133246{col 26}{space 2} .0919609{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.1944242{col 67}{space 3}  .167775
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2044526

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0659927{col 26}{space 2} .0707046{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4} -.205232{col 67}{space 3} .0732465
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0426596{col 26}{space 2} .1106224{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}-.1751903{col 67}{space 3} .2605095
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.205355

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0366761{col 26}{space 2} .0713315{col 37}{space 1}    0.51{col 46}{space 3}0.608{col 54}{space 4}-.1037977{col 67}{space 3} .1771499
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0685679{col 26}{space 2} .1062964{col 37}{space 1}   -0.65{col 46}{space 3}0.519{col 54}{space 4}-.2778985{col 67}{space 3} .1407626
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2070003
{txt}
{com}. 
. 
. ***************************
. ***   Placebo post #2   ***
. ***************************
. 
. drop fake_post 
{txt}
{com}. drop fakeinst
{txt}
{com}. 
. gen fake_post = 0
{txt}
{com}. replace fake_post = 0.25 if birthyear >= 1974 & birthyear != .
{txt}(2,804 real changes made)

{com}. replace fake_post = 0.5 if birthyear >= 1975 & birthyear != .
{txt}(2,672 real changes made)

{com}. replace fake_post = 0.75 if birthyear >= 1976 & birthyear != .
{txt}(2,536 real changes made)

{com}. replace fake_post = 1 if birthyear >= 1977 & birthyear != .
{txt}(2,407 real changes made)

{com}. 
. gen fakeinst = fake_post*treat2_10_inc
{txt}(248 missing values generated)

{com}. egen f_std = std(fakeinst)
{txt}(248 missing values generated)

{com}. drop fakeinst
{txt}
{com}. ren f_std fakeinst
{res}{txt}
{com}. label var fakeinst "Post $\times$ Intensity"
{txt}
{com}. 
. * main effects
. 
. foreach var of varlist economic_index information participation_index dem_checks_on_pres {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A19: `var'"
{txt}  6{com}.         
.         quietly eststo: areg `var' fakeinst i.birthyear_control i.year_survey_control fake_post treat2_10_inc wolof-others urbrur2 male if birthyear_control >= 1958 & birthyear_control <= 1985, absorb(locale_gender) cluster(locale_3_control)
{txt}  7{com}.         
.         noisily: lincom fakeinst
{txt}  8{com}.         quietly summ `var' if e(sample)
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. {c )-}
 
 
 
Table A19: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0773386{col 26}{space 2} .0251339{col 37}{space 1}    3.08{col 46}{space 3}0.002{col 54}{space 4} .0278431{col 67}{space 3} .1268342
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.38967911
 
 
 
Table A19: information

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .029075{col 26}{space 2} .0524707{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0742542{col 67}{space 3} .1324043
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5887992
 
 
 
Table A19: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0260056{col 26}{space 2} .0611315{col 37}{space 1}   -0.43{col 46}{space 3}0.671{col 54}{space 4}-.1463902{col 67}{space 3}  .094379
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.78644932
 
 
 
Table A19: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0031147{col 26}{space 2} .0500296{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.0954072{col 67}{space 3} .1016367
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1942474
{txt}
{com}. 
. * het effects
. 
. foreach var of varlist participate_index  dem_gov dem_support dem_checks_on_pres dem_institutions {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A20: `var'"
{txt}  6{com}.         
.         quietly eststo: reg `var' fakeinst c.fakeinst#c.W i.birthyear_control##c.W i.locale_gender##c.W c.fake_post##c.W c.treat2_10_inc##c.W i.year_survey_control wolof-others male urbrur2 if birthyear_control >= 1958 & birthyear_control <= 1985, cluster(locale_3_control)
{txt}  7{com}. 
.         noisily: lincom fakeinst
{txt}  8{com}.         noisily: lincom c.fakeinst#c.W
{txt}  9{com}.         
.         quietly summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}. {c )-}
 
 
 
Table A20: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0177728{col 26}{space 2} .0864541{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-.1880247{col 67}{space 3}  .152479
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1687361{col 26}{space 2} .1592271{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.4822978{col 67}{space 3} .1448257
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.3062608
 
 
 
Table A20: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0977324{col 26}{space 2} .0657264{col 37}{space 1}    1.49{col 46}{space 3}0.138{col 54}{space 4}-.0317009{col 67}{space 3} .2271656
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  -.08971{col 26}{space 2} .1083099{col 37}{space 1}   -0.83{col 46}{space 3}0.408{col 54}{space 4}-.3030019{col 67}{space 3} .1235819
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.88532494
 
 
 
Table A20: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0460223{col 26}{space 2} .0569462{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.0661204{col 67}{space 3}  .158165
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0915448{col 26}{space 2} .0827814{col 37}{space 1}   -1.11{col 46}{space 3}0.270{col 54}{space 4} -.254564{col 67}{space 3} .0714744
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1922965
 
 
 
Table A20: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0246311{col 26}{space 2} .0680473{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4}-.1586348{col 67}{space 3} .1093726
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0055763{col 26}{space 2} .0976024{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-.1866296{col 67}{space 3} .1977822
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1942474
 
 
 
Table A20: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} fakeinst = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1186781{col 26}{space 2} .0752299{col 37}{space 1}    1.58{col 46}{space 3}0.116{col 54}{space 4}-.0294702{col 67}{space 3} .2668264
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.fakeinst#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1825921{col 26}{space 2} .1006094{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.3807194{col 67}{space 3} .0155353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1942272
{txt}
{com}. 
. 
. 
. 
. local numbers1 "& (1) & (2) & (3) & (4) \\"
{txt}
{com}. local robust1 "\textbf{c -(}Placebo year = 1969{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\  \midrule"
{txt}
{com}. local robust2 "\midrule \\ \textbf{c -(}Placebo year = 1974{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres{c )-} \\  \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/placebo.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers1'" "`robust1'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(fakeinst)
{res}{txt}(output written to {browse  `"tables/placebo.tex"'})

{com}. 
. esttab est10 est11 est12 est13 using "tables/placebo.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust2'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(fakeinst)
{res}{txt}(output written to {browse  `"tables/placebo.tex"'})

{com}. 
. 
. 
. 
. local numbers2 "& (1) & (2) & (3) & (4) & (5) \\ \midrule"
{txt}
{com}. local robust3 "\textbf{c -(}Placebo year = 1969{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. local robust4 "\midrule \\ \textbf{c -(}Placebo year = 1974{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem quality index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on pres index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem inst index{c )-} \\  \midrule"
{txt}
{com}. 
. esttab est5 est6 est7 est8 est9 using "tables/placebo_het.tex", replace b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`numbers2'" "`robust3'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(fakeinst c.fakeinst#c.W)
{res}{txt}(output written to {browse  `"tables/placebo_het.tex"'})

{com}. 
. esttab est14 est15 est16 est17 est18 using "tables/placebo_het.tex", append b(3) se(3) ar(3) interaction("$\times$") ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber posthead("`gap'" "`robust4'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(fakeinst c.fakeinst#c.W)
{res}{txt}(output written to {browse  `"tables/placebo_het.tex"'})

{com}. 
. 
. 
. 
{txt}end of do-file

{com}.         do "do files/iv regressions" /* A.7, A.12 */
{txt}
{com}. 
. capture cd "~/Dropbox/Projects/Senegal/Senegal Nigeria Education and Leaders/Senegal Replication Files"
{txt}
{com}. 
. ********************************************************************************
. ***   First stage 
. ********************************************************************************
. 
. est clear
{res}{txt}
{com}. 
. foreach var of varlist school4 indiv2 indiv3 indiv4 {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A10a: `var' (main effect)"
{txt}  6{com}.         
.         quietly: ivreg2 economic_index (`var' = instrument) i.locale_gender $controls if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control i.year_survey_control i.locale_gender) savefirst savefprefix(post1)
{txt}  7{com}.         
.         quietly: generate sample = e(sample)
{txt}  8{com}.         local fstat_`var' =round(e(widstat), 0.001)
{txt}  9{com}.         display "f-stat: `fstat_`var''"
{txt} 10{com}. 
.         quietly eststo: areg `var' instrument i.birthyear_control i.year_survey_control post1 treat2_10_inc wolof-others if birthyear_control >= 1970 & birthyear_control <= 1997 & sample == 1, absorb(locale_gender) cluster(locale_3_control)
{txt} 11{com}.         
.         noisily: lincom instrument 
{txt} 12{com}.         quietly: summ `var' if e(sample)
{txt} 13{com}.         estadd scalar vmean = r(mean)
{txt} 14{com}.         
.         drop sample
{txt} 15{com}.         
.         
.         display " "
{txt} 16{com}.         display " "
{txt} 17{com}.         display " "
{txt} 18{com}.         display "Table A10b: `var' (democracy threatened)"
{txt} 19{com}.         
.         quietly: ivreg2 economic_index (`var' c.`var'#c.W = instrument c.instrument#c.W) i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W) savefirst savefprefix(post1)
{txt} 20{com}.         
.         quietly: generate sample = e(sample)
{txt} 21{com}.         
.         local fstat2_`var' =round(e(widstat), 0.001)
{txt} 22{com}.         display "f-stat: `fstat2_`var''"
{txt} 23{com}.         
.         quietly eststo: reg `var' instrument c.instrument#c.W i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control)
{txt} 24{com}.                         
.         noisily: lincom instrument 
{txt} 25{com}.         noisily: lincom c.instrument#c.W
{txt} 26{com}.         
.         quietly: summ `var' if e(sample)
{txt} 27{com}.         estadd scalar vmean = r(mean)
{txt} 28{com}.         
.         drop sample
{txt} 29{com}.         
. {c )-}
 
 
 
Table A10a: school4 (main effect)
f-stat: 11.994

{p 0 7}{space 1}{text:( 1)}{space 1} {res}instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     school4{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2093627{col 26}{space 2} .0616145{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .0880247{col 67}{space 3} .3307007
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.0464308
 
 
 
Table A10b: school4 (democracy threatened)
f-stat: 2.629

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     school4{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1662823{col 26}{space 2} .0796338{col 37}{space 1}    2.09{col 46}{space 3}0.038{col 54}{space 4} .0094586{col 67}{space 3}  .323106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     school4{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0563139{col 26}{space 2} .1775991{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.2934338{col 67}{space 3} .4060617
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.0464308
 
 
 
Table A10a: indiv2 (main effect)
f-stat: 19.058

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1404544{col 26}{space 2} .0326804{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .0760964{col 67}{space 3} .2048123
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.59886292
 
 
 
Table A10b: indiv2 (democracy threatened)
f-stat: 2.926

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1396465{col 26}{space 2} .0417289{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} .0574694{col 67}{space 3} .2218237
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv2{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .010018{col 26}{space 2}  .074651{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4} -.136993{col 67}{space 3} .1570289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.59886292
 
 
 
Table A10a: indiv3 (main effect)
f-stat: 4.052

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv3{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0689084{col 26}{space 2} .0352559{col 37}{space 1}    1.95{col 46}{space 3}0.052{col 54}{space 4}-.0005215{col 67}{space 3} .1383382
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.44756791
 
 
 
Table A10b: indiv3 (democracy threatened)
f-stat: .119

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv3{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0266358{col 26}{space 2} .0435965{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0592192{col 67}{space 3} .1124908
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv3{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .046296{col 26}{space 2} .1350274{col 37}{space 1}    0.34{col 46}{space 3}0.732{col 54}{space 4}-.2196149{col 67}{space 3} .3122068
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.44756791
 
 
 
Table A10a: indiv4 (main effect)
f-stat: .617

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv4{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0247322{col 26}{space 2} .0352815{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0447481{col 67}{space 3} .0942124
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.37744788
 
 
 
Table A10b: indiv4 (democracy threatened)
f-stat: .153

{p 0 7}{space 1}{text:( 1)}{space 1} instrument = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv4{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0193626{col 26}{space 2} .0435826{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-.1051903{col 67}{space 3} .0664651
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.instrument#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      indiv4{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1015383{col 26}{space 2} .1260796{col 37}{space 1}    0.81{col 46}{space 3}0.421{col 54}{space 4}-.1467516{col 67}{space 3} .3498282
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.37744788
{txt}
{com}. 
. local gap ""
{txt}
{com}. 
. local numbers "& (1) & (2) & (3) & (4) \\"
{txt}
{com}. local fs1 "\textbf{c -(}A: Main Effect{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Schooling{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Primary{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Primary{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Secondary{c )-} \\ "
{txt}
{com}. local fs2 "\midrule \\ \textbf{c -(}B: Democracy Threatened{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Schooling{c )-}   &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Primary{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Primary{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Secondary{c )-} \\"
{txt}
{com}. local line2 " & & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}incomplete{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}complete{c )-}  & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}incomplete{c )-} \\  \midrule"
{txt}
{com}. local fstat " First-stage \textit{c -(}F{c )-} statistic & `fstat_school4'         & `fstat_indiv2' & `fstat_indiv3' & `fstat_indiv4' \\"
{txt}
{com}. local fstat2 " First-stage \textit{c -(}F{c )-} statistic & `fstat2_school4'       & `fstat2_indiv2' & `fstat2_indiv3' & `fstat2_indiv4'  & `fstat2_secondary_school' \\"
{txt}
{com}. 
. esttab est1 est3 est5 est7 using "tables/first_stage.tex", replace b(3) se(3) ar(3) ///
> stats(N, fmt(0 3 3 "") labels(`"Observations"')) nonumber ///
> posthead("`numbers'" "`fs1'" "`line2'") postfoot("`fstat'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument)
{res}{txt}(output written to {browse  `"tables/first_stage.tex"'})

{com}. 
. esttab est2 est4 est6 est8 using "tables/first_stage.tex", append b(3) se(3) ar(3) ///
> stats(N, fmt(0 3 3 "") labels(`"Observations"')) nonumber ///
> posthead("`gap'" "`fs2'" "`line2'") postfoot("`fstat2'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(instrument c.instrument#c.W)
{res}{txt}(output written to {browse  `"tables/first_stage.tex"'})

{com}. 
. 
. 
. ********************************************************************************
. ***   Main effects
. ********************************************************************************
. 
. *********************************
. ***   Economic and Interest   ***
. *********************************
. 
. est clear
{res}{txt}
{com}. 
. local economic economic_index employed assets basic_necessities 
{txt}
{com}. 
. 
. label var economic_index "Econ index"
{txt}
{com}. label var basic_necessities "Basic necessities"
{txt}
{com}. label var employed "Employed"
{txt}
{com}. label var assets "Assets index"
{txt}
{com}. 
. 
. foreach var of varlist `economic' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A16a: `var'"
{txt}  6{com}.         
.         quietly eststo: ivreg2 `var' (school4 = instrument) $controls i.locale_gender if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control i.year_survey_control i.locale_gender) savefirst savefprefix(post1)
{txt}  7{com}. 
.         noisily: lincom school4
{txt}  8{com}.         quietly summ `var' if e(sample)
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}.         
.         weakiv
{txt} 11{com}.         local ar_ts_`var' = round(e(ar_chi2), 0.001)
{txt} 12{com}.         local arp_`var' = round(e(ar_p), 0.001)
{txt} 13{com}.         local ar_cl_`var' = e(ar_cset)
{txt} 14{com}. 
. {c )-}
 
 
 
Table A16a: economic_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}economic_i~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4345043{col 26}{space 2}   .12426{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .1909593{col 67}{space 3} .6780494
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.37498246
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[economic_index:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}   26.26{center 3:} {res} 0.0000 {c |}{center 15:95%}{res}{center 22:[ .262301, .892074]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}   12.23{center 3:} {res} 0.0005 {c |}{center 15:95%}{res}{center 22:[ .190959, .678049]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.052586, .921594].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A16a: employed

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    employed{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7297408{col 26}{space 2} .2342175{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .2706829{col 67}{space 3} 1.188799
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.27411168
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[employed:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}   18.75{center 3:} {res} 0.0000 {c |}{center 15:95%}{res}{center 22:[ .386607, 1.57367]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    9.71{center 3:} {res} 0.0018 {c |}{center 15:95%}{res}{center 22:[ .270683,  1.1888]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.188375, 1.64786].{p_end}
{p}Number of obs N  = 3152.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A16a: assets

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      assets{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4974528{col 26}{space 2}  .166287{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .1715364{col 67}{space 3} .8233692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.37254903
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[assets:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}   15.76{center 3:} {res} 0.0001 {c |}{center 15:95%}{res}{center 22:[ .253839, 1.12295]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    8.95{center 3:} {res} 0.0028 {c |}{center 15:95%}{res}{center 22:[ .171536, .823369]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [ -.15438, 1.14929].{p_end}
{p}Number of obs N  = 2669.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=250).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A16a: basic_necessities

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}basic_nece~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0839449{col 26}{space 2} .0779362{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0688073{col 67}{space 3} .2366971
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.47872184
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[basic_necessities:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.16{center 3:} {res} 0.2808 {c |}{center 15:95%}{res}{center 22:[-.079608, .284529]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.16{center 3:} {res} 0.2814 {c |}{center 15:95%}{res}{center 22:[-.068807, .236697]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [ -.22156, .389449].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
. ren interest_pub_affairs_index int_pub_affairs_index
{res}{txt}
{com}. local information information int_pub_affairs_index discuss_pol_index news_scale
{txt}
{com}. 
. foreach var of varlist `information' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A16b: `var'"
{txt}  6{com}.         
.         quietly eststo: ivreg2 `var' (school4 = instrument) $controls i.locale_gender if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control i.year_survey_control i.locale_gender) savefirst savefprefix(post1)
{txt}  7{com}. 
.         noisily: lincom school4
{txt}  8{com}.         quietly summ `var' if e(sample)
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}.         
.         weakiv
{txt} 11{com}.         local ar_ts_`var' = round(e(ar_chi2), 0.001)
{txt} 12{com}.         local arp_`var' = round(e(ar_p), 0.001)
{txt} 13{com}.         local ar_cl_`var' = e(ar_cset)
{txt} 14{com}.         
. {c )-}
 
 
 
Table A16b: information

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} information{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5740729{col 26}{space 2} .2152047{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .1522795{col 67}{space 3} .9958664
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.5619253
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[information:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    7.99{center 3:} {res} 0.0047 {c |}{center 15:95%}{res}{center 22:[ .207666,  1.2302]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    7.12{center 3:} {res} 0.0076 {c |}{center 15:95%}{res}{center 22:[ .152279, .995866]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.269514, 1.41766].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A16b: int_pub_affairs_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}int_pub_af~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .6861446{col 26}{space 2} .3340769{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .0313659{col 67}{space 3} 1.340923
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.0515759
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[int_pub_affairs_index:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    5.21{center 3:} {res} 0.0225 {c |}{center 15:95%}{res}{center 22:[ .117347, 1.73114]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    4.22{center 3:} {res} 0.0400 {c |}{center 15:95%}{res}{center 22:[ .031366, 1.34092]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.623413,  1.9957].{p_end}
{p}Number of obs N  = 3141.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A16b: discuss_pol_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}discuss_po~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5587161{col 26}{space 2} .2350371{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0980519{col 67}{space 3}  1.01938
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1136147
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[discuss_pol_index:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    6.67{center 3:} {res} 0.0098 {c |}{center 15:95%}{res}{center 22:[ .158543, 1.29392]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    5.65{center 3:} {res} 0.0174 {c |}{center 15:95%}{res}{center 22:[ .098052, 1.01938]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.362612, 1.48004].{p_end}
{p}Number of obs N  = 3151.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A16b: news_scale

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  news_scale{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4943866{col 26}{space 2}  .361869{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.2148636{col 67}{space 3} 1.203637
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}2.5141654
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[news_scale:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.74{center 3:} {res} 0.1877 {c |}{center 15:95%}{res}{center 22:[-.293669, 1.36841]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.87{center 3:} {res} 0.1719 {c |}{center 15:95%}{res}{center 22:[-.214864, 1.20364]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.924114, 1.91289].{p_end}
{p}Number of obs N  = 3165.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
. ren int_pub_affairs_index interest_pub_affairs_index 
{res}{txt}
{com}. 
. 
. local numbers "& (1) & (2) & (3) & (4) \\"
{txt}
{com}. local economic "\textbf{c -(}A: Economic{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Economic index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Employed{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Assets index{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Basic necessities index{c )-} \\  \midrule"
{txt}
{com}. local interest "\midrule \\ \textbf{c -(}B: Interest{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Interest in pub affairs{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Discuss politics{c )-}  &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}News index{c )-} \\  \midrule"
{txt}
{com}. 
. local ar_ts1 " AR t-stat & `ar_ts_economic_index' & `ar_ts_employed' & `ar_ts_assets' & `ar_ts_basic_necessities' \\"
{txt}
{com}. local arp1 " AR p-value & `arp_economic_index' & `arp_employed' & `arp_assets' & `arp_basic_necessities' \\"
{txt}
{com}. local ar_cl1 " AR CIs & `ar_cl_economic_index' & `ar_cl_employed' & `ar_cl_assets' & `ar_cl_basic_necessities' \\"
{txt}
{com}. 
. local ar_ts2 " AR t-stat & `ar_ts_information' & `ar_ts_int_pub_affairs_index' & `ar_ts_discuss_pol_index' & `ar_ts_news_scale' \\"
{txt}
{com}. local arp2 " AR p-value & `arp_information' & `arp_int_pub_affairs_index' & `arp_discuss_pol_index' & `arp_news_scale' \\ "
{txt}
{com}. local ar_cl2 " AR CIs & `ar_cl_information' & `ar_cl_int_pub_affairs_index' & `ar_cl_discuss_pol_index' & `ar_cl_news_scale' \\"
{txt}
{com}. 
. local gap ""
{txt}
{com}. 
. esttab est1 est2 est3 est4 using "tables/iv_econ_interest.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber ///
> posthead("`numbers'" "`economic'")  postfoot("`ar_ts1'" "`arp1'" "`ar_cl1'")  ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/iv_econ_interest.tex"'})

{com}. 
. esttab est5 est6 est7 est8 using "tables/iv_econ_interest.tex", b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`gap'" "`interest'") postfoot("`ar_ts2'" "`arp2'" "`ar_cl2'") append ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/iv_econ_interest.tex"'})

{com}. 
. 
. *************************
. ***   PARTICIPATION   ***
. *************************
. 
. 
. local participation participation_index participate_index contact_index 
{txt}
{com}. est clear
{res}{txt}
{com}. 
. foreach var of varlist `participation' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A17a: `var'"
{txt}  6{com}.         
.         quietly eststo: ivreg2 `var' (school4 = instrument) $controls i.locale_gender if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control i.year_survey_control i.locale_gender) savefirst savefprefix(post1)
{txt}  7{com}. 
.         noisily: lincom school4
{txt}  8{com}.         quietly summ `var' if e(sample)
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. 
.         
.         weakiv
{txt} 11{com}.         local ar_ts1_`var' = round(e(ar_chi2), 0.001)
{txt} 12{com}.         local arp1_`var' = round(e(ar_p), 0.001)
{txt} 13{com}.         local ar_cl1_`var' = e(ar_cset)
{txt} 14{com}.         
. {c )-}
 
 
 
Table A17a: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0490821{col 26}{space 2}  .204217{col 37}{space 1}   -0.24{col 46}{space 3}0.810{col 54}{space 4}-.4493401{col 67}{space 3} .3511759
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.72078333
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[participation_index:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.06{center 3:} {res} 0.8064 {c |}{center 15:95%}{res}{center 22:[ -.62319, .330961]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.06{center 3:} {res} 0.8101 {c |}{center 15:95%}{res}{center 22:[ -.44934, .351176]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.849598, .751434].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A17a: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2050181{col 26}{space 2} .2870328{col 37}{space 1}   -0.71{col 46}{space 3}0.475{col 54}{space 4}-.7675921{col 67}{space 3} .3575559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2414719
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[participate_index:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.56{center 3:} {res} 0.4529 {c |}{center 15:95%}{res}{center 22:[-1.03467, .329143]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.51{center 3:} {res} 0.4751 {c |}{center 15:95%}{res}{center 22:[-.767592, .357556]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-1.33017,  .92013].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A17a: contact_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}contact_in~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1117747{col 26}{space 2} .1818857{col 37}{space 1}    0.61{col 46}{space 3}0.539{col 54}{space 4}-.2447146{col 67}{space 3} .4682641
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.19667195
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[contact_index:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.35{center 3:} {res} 0.5545 {c |}{center 15:95%}{res}{center 22:[-.341939,  .49347]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.38{center 3:} {res} 0.5389 {c |}{center 15:95%}{res}{center 22:[-.244715, .468264]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.601204, .824754].{p_end}
{p}Number of obs N  = 3155.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
. 
. foreach var of varlist `participation' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A17b: `var'"
{txt}  6{com}.         
.         quietly eststo: ivreg2 `var' (school4 c.school4#c.W = instrument c.instrument#c.W) i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W) savefirst savefprefix(post1)
{txt}  7{com}. 
.         noisily: lincom school4
{txt}  8{com}.         noisily: lincom c.school4#c.W
{txt}  9{com}.         quietly summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.         
.         weakiv, strong(school4)
{txt} 12{com}.         local ar_ts2_`var' = round(e(ar_chi2), 0.001)
{txt} 13{com}.         local arp2_`var' = round(e(ar_p), 0.001)
{txt} 14{com}.         local ar_cl2_`var' = e(ar_cset)
{txt} 15{com}. {c )-}       
 
 
 
Table A17b: participation_index

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1534629{col 26}{space 2} .3377063{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.8153551{col 67}{space 3} .5084294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~n_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7394324{col 26}{space 2} .5245819{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.2887292{col 67}{space 3} 1.767594
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.72078333
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[participation_index:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    2.86{center 3:} {res} 0.0910 {c |}{center 15:95%}{break}{res}{ralign 78:[   ...  ,-.901472] U [ -.19526,   ...  ]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.99{center 3:} {res} 0.3703 {c |}{center 15:95%}{res}{center 22:[-.288729, 1.76759]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-1.31689, 2.79576].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A17b: participate_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.4432526{col 26}{space 2} .5228661{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-1.468051{col 67}{space 3} .5815462
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}part~e_index{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.314968{col 26}{space 2} .9164118{col 37}{space 1}    1.43{col 46}{space 3}0.151{col 54}{space 4}-.4811658{col 67}{space 3} 3.111103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.2414719
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[participate_index:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    3.90{center 3:} {res} 0.0484 {c |}{center 15:95%}{res}{center 22:[ .044975,   ...  ]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    2.06{center 3:} {res} 0.3572 {c |}{center 15:95%}{res}{center 22:[-.481166,  3.1111]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [ -2.2773, 4.90724].{p_end}
{p}Number of obs N  = 3166.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A17b: contact_index

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}contact_in~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1357174{col 26}{space 2}  .272993{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4}-.3993391{col 67}{space 3}  .670774
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}contact_in~x{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1551697{col 26}{space 2} .3995009{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.6278377{col 67}{space 3} .9381771
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.19667195
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[contact_index:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.14{center 3:} {res} 0.7052 {c |}{center 15:95%}{res}{center 22:entire grid}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    0.15{center 3:} {res} 0.9273 {c |}{center 15:95%}{res}{center 22:[-.627838, .938177]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-1.41085, 1.72118].{p_end}
{p}Number of obs N  = 3155.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
. 
. 
. local numbers "& (1) & (2) & (3) \\ "
{txt}
{com}. local participation1 "\textbf{c -(}A: Main Effects{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participation index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Contact index{c )-} \\ \midrule"
{txt}
{com}. local participation2 "\midrule \\ \textbf{c -(}B: Democracy Threatened{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participation index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Participate index{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Contact index{c )-} \\ \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. local ar_ts1 "AR t-stat & `ar_ts1_participation_index' & `ar_ts1_participate_index' & `ar_ts1_contact_index' \\ "
{txt}
{com}. local arp1 " AR p-value& `arp1_participation_index' & `arp1_participate_index' & `arp1_contact_index' \\"
{txt}
{com}. local ar_cl1 " AR CIs & `ar_cl1_participation_index' & `ar_cl1_participate_index' & `ar_cl1_contact_index' \\"
{txt}
{com}. 
. local ar_ts2 " AR t-stat & `ar_ts2_participation_index' & `ar_ts2_participate_index' & `ar_ts2_contact_index' \\"
{txt}
{com}. local arp2 " AR p-value& `arp2_participation_index' & `arp2_participate_index' & `arp2_contact_index' \\"
{txt}
{com}. local ar_cl2 "AR CIs & `ar_cl2_participation_index' & `ar_cl2_participate_index' & `ar_cl2_contact_index' \\ \bottomrule"
{txt}
{com}. 
. 
. esttab est1 est2 est3 using "tables/iv_participation.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber ///
> posthead("`numbers'" "`participation1'")  postfoot("`ar_ts1'" "`arp1'" "`ar_cl1'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/iv_participation.tex"'})

{com}. 
. esttab est4 est5 est6 using "tables/iv_participation.tex", append b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`gap'" "`participation2'")  postfoot("`ar_ts2'" "`arp2'" "`ar_cl2'") ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4 c.school4#c.W)
{res}{txt}(output written to {browse  `"tables/iv_participation.tex"'})

{com}. 
. 
. 
. 
. ************************************
. ***   Government and Democracy   ***
. ************************************
. 
. local democracy dem_gov dem_support dem_checks_on_pres dem_institutions
{txt}
{com}. est clear
{res}{txt}
{com}. 
. foreach var of varlist `democracy' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A18a: `var'"
{txt}  6{com}.         
.         quietly eststo: ivreg2 `var' (school4 = instrument) $controls i.locale_gender if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control i.year_survey_control i.locale_gender) savefirst savefprefix(post1)
{txt}  7{com}. 
.         noisily: lincom school4
{txt}  8{com}.         quietly summ `var' if e(sample)
{txt}  9{com}.         estadd scalar vmean = r(mean)
{txt} 10{com}. 
.         
.         weakiv
{txt} 11{com}.         local ar_ts1_`var' = round(e(ar_chi2), 0.001)
{txt} 12{com}.         local arp1_`var' = round(e(ar_p), 0.001)
{txt} 13{com}.         local ar_cl1_`var' = e(ar_cset)
{txt} 14{com}.         
. {c )-}
 
 
 
Table A18a: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1837405{col 26}{space 2}  .176945{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-.5305464{col 67}{space 3} .1630654
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.90584457
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_gov:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.03{center 3:} {res} 0.3109 {c |}{center 15:95%}{res}{center 22:[-.611117, .201599]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.08{center 3:} {res} 0.2991 {c |}{center 15:95%}{res}{center 22:[-.530546, .163065]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.877352, .509871].{p_end}
{p}Number of obs N  = 3158.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A18a: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3124808{col 26}{space 2} .1335222{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0507821{col 67}{space 3} .5741794
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1812851
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
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{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_support:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    5.80{center 3:} {res} 0.0160 {c |}{center 15:95%}{res}{center 22:[ .074573,  .69842]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    5.48{center 3:} {res} 0.0193 {c |}{center 15:95%}{res}{center 22:[ .050782, .574179]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.210917, .835878].{p_end}
{p}Number of obs N  = 3163.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A18a: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .4031495{col 26}{space 2} .1736079{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .0628843{col 67}{space 3} .7434147
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1717021
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
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{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_checks_on_pres:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    5.80{center 3:} {res} 0.0160 {c |}{center 15:95%}{res}{center 22:[ .093817, .918703]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    5.39{center 3:} {res} 0.0202 {c |}{center 15:95%}{res}{center 22:[ .062884, .743415]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-.277381, 1.08368].{p_end}
{p}Number of obs N  = 3151.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A18a: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2154056{col 26}{space 2} .1399044{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4} -.058802{col 67}{space 3} .4896133
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1931214
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_institutions:school4] = 0
{txt}{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    2.39{center 3:} {res} 0.1219 {c |}{center 15:95%}{res}{center 22:[-.056032, .586555]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    2.37{center 3:} {res} 0.1236 {c |}{center 15:95%}{res}{center 22:[-.058802, .489613]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [ -.33301, .763821].{p_end}
{p}Number of obs N  = 3163.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
. 
. foreach var of varlist `democracy' {c -(}
{txt}  2{com}.         
.         display " "
{txt}  3{com}.         display " "
{txt}  4{com}.         display " "
{txt}  5{com}.         display "Table A18b: `var'"
{txt}  6{com}.         
.         quietly eststo: ivreg2 `var' (school4 c.school4#c.W = instrument c.instrument#c.W) i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W $controls2 if birthyear_control >= 1970 & birthyear_control <= 1997, cluster(locale_3_control) partial(i.birthyear_control##c.W i.locale_gender##c.W c.post1##c.W c.treat2_10_inc##c.W) savefirst savefprefix(post1)
{txt}  7{com}. 
.         noisily: lincom school4
{txt}  8{com}.         noisily: lincom c.school4#c.W
{txt}  9{com}.         quietly summ `var' if e(sample)
{txt} 10{com}.         estadd scalar vmean = r(mean)
{txt} 11{com}.         
.         weakiv, strong(school4)
{txt} 12{com}.         local ar_ts2_`var' = round(e(ar_chi2), 0.001)
{txt} 13{com}.         local arp2_`var' = round(e(ar_p), 0.001)
{txt} 14{com}.         local ar_cl2_`var' = e(ar_cset)
{txt} 15{com}. {c )-}       
 
 
 
Table A18b: dem_gov

{p 0 7}{space 1}{text:( 1)}{space 1} {res}school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3207265{col 26}{space 2} .2907532{col 37}{space 1}    1.10{col 46}{space 3}0.270{col 54}{space 4}-.2491392{col 67}{space 3} .8905923
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     dem_gov{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-1.143228{col 26}{space 2} .6448681{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4}-2.407146{col 67}{space 3} .1206903
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}.90584457
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_gov:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    4.18{center 3:} {res} 0.0408 {c |}{center 15:95%}{res}{center 22:[   ...  ,-.147414]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    3.14{center 3:} {res} 0.2077 {c |}{center 15:95%}{res}{center 22:[-2.40715,  .12069]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-3.67106, 1.38461].{p_end}
{p}Number of obs N  = 3158.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A18b: dem_support

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1314507{col 26}{space 2} .1934262{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.2476578{col 67}{space 3} .5105591
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} dem_support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .9495904{col 26}{space 2} .8499726{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.7163253{col 67}{space 3} 2.615506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1812851
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_support:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    3.39{center 3:} {res} 0.0655 {c |}{center 15:95%}{res}{center 22:[-.026401,   ...  ]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.25{center 3:} {res} 0.5358 {c |}{center 15:95%}{res}{center 22:[-.716325, 2.61551]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-2.38224, 4.28142].{p_end}
{p}Number of obs N  = 3163.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A18b: dem_checks_on_pres

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2530979{col 26}{space 2} .2509891{col 37}{space 1}    1.01{col 46}{space 3}0.313{col 54}{space 4}-.2388317{col 67}{space 3} .7450274
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_checks~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .902381{col 26}{space 2} .8303407{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.7250569{col 67}{space 3} 2.529819
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1717021
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_checks_on_pres:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    2.46{center 3:} {res} 0.1165 {c |}{center 15:95%}{res}{center 22:[-.248333,   ...  ]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.18{center 3:} {res} 0.5540 {c |}{center 15:95%}{res}{center 22:[-.725057, 2.52982]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-2.35249, 4.15726].{p_end}
{p}Number of obs N  = 3151.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res} 
 
 
Table A18b: dem_institutions

{p 0 7}{space 1}{text:( 1)}{space 1} school4 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0098276{col 26}{space 2} .2259212{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.4329699{col 67}{space 3}  .452625
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}c.school4#c.W = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}dem_instit~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .9542454{col 26}{space 2} .8528884{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.7173851{col 67}{space 3} 2.625876
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

added scalar:
              e(vmean) =  {res}1.1931214
{txt}Estimating confidence sets over 100 grid points
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.    50
{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.{res}{txt}.   100
{res}
{txt}{p}{helpb weakiv##interpretation:Weak instrument robust tests and confidence sets for linear IV }{p_end}
{res}H0: beta[dem_institutions:c.school4#c.W] = 0
{txt}{p 0 4}Assumed strongly identified: school4{p_end}
{hline 6}{c TT}{hline 33}{c TT}{hline 37}
{ralign 5:Test} {c |} {center 21:Statistic}{center 10:   p-value} {c |}{center 15:Conf. level}{center 22:{helpb weakiv##cset:Conf. Set}}
{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##AR:AR}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    3.28{center 3:} {res} 0.0702 {c |}{center 15:95%}{res}{center 22:[-.025094,   ...  ]}
{txt}{hline 6}{c +}{hline 33}{c +}{hline 37}
{txt}{ralign 5:{helpb weakiv##Wald:Wald}} {c |} {txt}{lalign 9:chi2({res:1})} = {res}    1.25{center 3:} {res} 0.5348 {c |}{center 15:95%}{res}{center 22:[-.717385, 2.62588]}
{txt}{hline 6}{c BT}{hline 33}{c BT}{hline 37}
{p}Confidence sets estimated for 100 points in [-2.38902, 4.29751].{p_end}
{p}Number of obs N  = 3163.
{p_end}
{p}Method = {helpb weakiv##method:lagrange multiplier (LM)}.
{p_end}
{p}Tests robust to heteroskedasticity and clustering on locale_3_control (N_clust=256).  
{p_end}
{p}Wald statistic in last row is based on ivreg2 estimation and is not robust to weak instruments.{p_end}
{res}{txt}
{com}. 
. 
. 
. local numbers "& (1) & (2) & (3) & (4) \\ "
{txt}
{com}. local dem1 "\textbf{c -(}A: Support for Democracy{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Democratic{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem institutions{c )-} \\"
{txt}
{com}. local dem2 "\midrule \\ \textbf{c -(}B: Democracy Threatened{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Democratic{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem support{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Checks on{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Dem institutions{c )-} \\"
{txt}
{com}. local line2 "& \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}quality index{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}index{c )-}&  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}president{c )-} &  \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}index{c )-} \\ \midrule"
{txt}
{com}. local gap ""
{txt}
{com}. 
. local ar_ts1 " AR t-stat& `ar_ts1_dem_gov' & `ar_ts1_dem_support' & `ar_ts1_dem_checks_on_pres'  & `ar_ts1_dem_institutions' \\"
{txt}
{com}. local arp1 " AR p-value& `arp1_dem_gov' & `arp1_dem_support' & `arp1_dem_checks_on_pres'  & `arp1_dem_institutions' \\"
{txt}
{com}. local ar_cl1 "AR CIs & `ar_cl1_dem_gov' & `ar_cl1_dem_support' & `ar_cl1_dem_checks_on_pres'  & `ar_cl1_dem_institutions' \\"
{txt}
{com}. 
. local ar_ts2 " AR t-stat& `ar_ts2_dem_gov' & `ar_ts2_dem_support' & `ar_ts2_dem_checks_on_pres'  & `ar_ts2_dem_institutions' \\"
{txt}
{com}. local arp2 " AR p-value & `arp2_dem_gov' & `arp2_dem_support' & `arp2_dem_checks_on_pres' & `arp2_dem_institutions' \\"
{txt}
{com}. local ar_cl2 "AR CIs & `ar_cl2_dem_gov' & `ar_cl2_dem_support' & `ar_cl2_dem_checks_on_pres'  & `ar_cl2_dem_institutions' \\"
{txt}
{com}. 
. 
. esttab est1 est2 est3 est4 using "tables/iv_democracy.tex", replace b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) nonumber ///
> posthead("`numbers'" "`dem1'"  "`line2'") postfoot("`ar_ts1'" "`arp1'" "`ar_cl1'")  ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4)
{res}{txt}(output written to {browse  `"tables/iv_democracy.tex"'})

{com}. 
. esttab est5 est6 est7 est8 using "tables/iv_democracy.tex", b(3) se(3) ar(3) ///
> stats(N vmean, fmt(0 3 3 "") labels(`"Observations"' `"DV Mean"')) ///
> nonumber posthead("`gap'" "`dem2'"  "`line2'") postfoot("`ar_ts2'" "`arp2'" "`ar_cl2'") append ///
> f label nomtitles nogaps booktabs noobs compress star(* 0.10 ** 0.05 *** 0.01) keep(school4 c.school4#c.W)
{res}{txt}(output written to {browse  `"tables/iv_democracy.tex"'})

{com}. 
. 
{txt}end of do-file

{com}. log close 
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/shelley/Dropbox/Projects/Senegal/Senegal Nigeria Education and Leaders/Senegal Replication Files/do files/0_appendix.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 6 Jul 2023, 12:28:05
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{txt}{sf}{ul off}